Establishment and Application of Sand Prediction Model Based on Monte Carlo Method in Offshore Oil-gas Field

Object and purpose of research. This paper discusses offshore oil & gas platforms as complex social and technical systems. The purpose is to consider the results of the research on development of recommendations aimed at improving the methodological apparatus for making management decisions to insure the offshore oil & gas field structures safety operations. Materials and methods. This work followed common methods of theoretical studies and was based on KSRC guidelines, risk management standards, as well as relevant publications, both Russian and foreign. Main results. Existing methodological recommendations on safety decision-making for offshore oil and gas facilities were systematized. The task of describing the implementation of decision-making methodology intended to ensure safe operation of offshore facilities and their equipment has been successfully accomplished. Conclusion. Methodological recommendations on decision making suggested in this paper with reference to the operation of offshore oil and gas facilities are intended to improve their safety, as well as to prevent or mitigate their possible accidents (failures) and justify the choice of optimal cost-effective solutions.

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Application of marine oil spill model based on Monte Carlo method in Laoshan Bay

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/371/4/042003 ◽

2019 ◽

Vol 371 ◽

pp. 042003 ◽

Cited By ~ 1

Author(s):

Jianbo Gong ◽

Liang Pang

Keyword(s):

Monte Carlo ◽

Monte Carlo Method ◽

Oil Spill ◽

Marine Oil ◽

Model Based

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Project duration-cost-quality prediction model based on Monte Carlo simulation

Journal of Physics Conference Series ◽

10.1088/1742-6596/1978/1/012048 ◽

2021 ◽

Vol 1978 (1) ◽

pp. 012048

Author(s):

Xingguang Chen ◽

Luqiang Cheng ◽

Guohua Deng ◽

Shuqi Guan ◽

Lewei Hu

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Prediction Model ◽

Quality Prediction ◽

Project Duration ◽

Model Based

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Using group sizes to optimise archery equipment

Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology ◽

10.1177/17543371211053716 ◽

2021 ◽

pp. 175433712110537

Author(s):

James L Park

Keyword(s):

Monte Carlo ◽

Monte Carlo Method ◽

Group Size ◽

False Positives ◽

Skill Level ◽

Average Score ◽

Extended Time ◽

False Negatives ◽

Model Based

One method used by archers and coaches to optimise archery equipment is to measure the size of arrow groups on the target prior to and following an adjustment. The group sizes are then used to determine if an equipment change assisted or detracted from the archer’s performance. A model based on a Monte Carlo method and group size measurements from seven elite archers were used to test the validity of this process. The results showed that this method was neither an effective method nor useful process because the probability of false positives or false negatives was too great. A better approach to optimise archery equipment is to monitor the archer’s skill level or average score over an extended time following any change.

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